The instruments for advanced research computing are here,
but are researchers ready?

Marie-Hélène Burle

June 1, 2023

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Times are changing

So many opportunities

Huge amounts of computing power readily available

Open source on steroids

Explosion of tools, libraries, software, new programming languages
Powerful ML algorithms
Literate programming is finally mainstream


But…

So many opportunities

Huge amounts of computing power readily available

Open source on steroids

Explosion of tools, libraries, software, new programming languages
Powerful ML algorithms
Literate programming is finally mainstream


But…

  • PIs often don’t have experience with new tools and are unable to help their students
  • Departments are slow to add courses needed by students
  • Some fields don’t have a strong computing culture

Our training

A large team of 2 to develop the material, organize events, advertise, build magic castles, websites, and posters, handle registrations and emails, and teach1

53 webinars/workshops/courses taught since the start of 2023

Training website linking to all material
Mint (mint is not training) website with my content (written in Quarto 🙂)

Topics

  • Unix shell
  • HPC
  • Version control with Git/DataLad
  • Scientific programming in R/Python/Julia
  • Parallel computing in R/Julia/Chapel
  • Deep learning with PyTorch
  • Scientific visualization
  • Containers/Alliance clouds/VMs
  • Webscraping in R/Python
  • GIS in R
  • Scientific publishing with Quarto

Now …
one little damper …

Times are changing

Fast

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